Castilho, Sheila ORCID: 0000-0002-8416-6555 and O'Brien, Sharon ORCID: 0000-0003-4864-5986 (2017) Acceptability of machine-translated content: a multi-language evaluation by translators and end-users. Linguistica Antverpiensia, New Series: Themes in Translation Studies, 16 . pp. 120-136. ISSN 2295-5739
Abstract
As machine translation (MT) continues to be used increasingly in the translation industry, there is a
corresponding increase in the need to understand MT quality and, in particular, its impact on endusers. To date, little work has been carried out to investigate the acceptability of MT output among
end-users and, ultimately, how acceptable they find it. This article reports on research conducted to
address that gap. End-users of instructional content machine-translated from English into German,
Simplified Chinese and Japanese were engaged in a usability experiment. Part of this experiment
involved giving feedback on the acceptability of raw machine-translated content and lightly postedited (PE) versions of the same content. In addition, a quality review was carried out in collaboration
with an industry partner and experienced translation quality reviewers. The translation qualityassessment (TQA) results from translators reflect the usability and satisfaction results by end-users
insofar as the implementation of light PE both increased the usability and acceptability of the PE
instructions and led to satisfaction being reported. Nonetheless, the raw MT content also received
good scores, especially for terminology, country standards and spelling.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Subjects: | Computer Science > Machine translating |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Humanities and Social Science > School of Applied Language and Intercultural Studies Research Initiatives and Centres > ADAPT |
Publisher: | Hoger Instituut voor Vertalers en Tolken |
Official URL: | https://lans-tts.uantwerpen.be/index.php/LANS-TTS/... |
Copyright Information: | © 2017 Hoger Instituut voor Vertalers en Tolken |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 23082 |
Deposited On: | 13 Mar 2019 12:57 by Thomas Murtagh . Last Modified 20 Jan 2021 16:32 |
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